AI & Machine Learning

Explainable AI can help decision-makers in insurance understand the rationale and logic behind AI and machine learning results.

Managing risks from poor-quality AI is too important to leave purely to technical specialists. An organization-wide perspective is needed.

Lemonade's recent glitch sheds light on public fears about AI -- and about what must be done to keep AI innovation from slowing.

This eBook explains trends in insurance fraud, the reinforcement learning approach, keys to successfully embracing AI and how to save millions in fraudulent claims payments.

Augmented intelligence changes the paradigm, helping insurers evolve processes, cut costs and improve customer experience with faster insights.

As insurance executives plan their AI investments, here are some best practices that will help to ensure successful business outcomes.

This whitepaper explains how using Halo-based AI minimizes insurance fraud, increases automation, lowers false-positive rates and delivers excellent financial results.

Insurance is moving toward a world in which carriers will not be allowed to make decisions that affect customers based on black-box AI.